Aggregating the Human Development Index: A Non-compensatory Approach

Riccardo Natoli (), Simon Feeny, Junde Li () and Segu Zuhair ()
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Riccardo Natoli: Victoria University
Junde Li: Victoria University
Segu Zuhair: Melbourne Polytechnic

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2024, vol. 172, issue 2, No 6, 499-515

Abstract: Abstract The United Nations’ Human Development Index remains a widely used and accepted measure of human development. Although it has been revised over the years to address various critiques, a remaining concern is the way the three dimensions are aggregated into the single index. A deterioration in one dimension can be compensated for by an improvement in another. Since compensability is inextricably linked with trade-offs and intensity of preferences, a non-compensatory (i.e., Condorcet) approach to aggregation is employed in this paper. Although non-compensatory approaches have been employed previously, this paper adds to the literature by undertaking an application of the Condorcet approach to the entire HDI. This approach, which does not use intensities of preferences, ensures that the degree of compensability connected with the aggregation model is at the minimum possible level. To achieve this, country level rankings are then compared to those for the 2020 Human Development Index which aggregates dimensions using a geometric mean. The findings demonstrated substantial changes in rank-order between the HDI and Condorcet approach. This outcome provides empirical evidence which demonstrates that the non-compensatory Condorcet approach can mitigate issues of compensation present within the geometric aggregation technique currently employed by the HDI. These findings have potential implications in aiding the identification and employment of potential policy priorities—specifically, the notion that policy should emphasise the development of a country as opposed to economic growth alone.

Keywords: Aggregation; Condorcet; HDI; Geometric mean (search for similar items in EconPapers)
JEL-codes: C43 I31 O20 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11205-024-03318-7

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